Machine Intelligent Gust Front Algorithm for the WSP

Details

• Creators:
  Troxel, Seth W. ; Pughe, W. L.
• Corporate Creators:
  Massachusetts Institute of Technology. Lincoln Laboratory.
• Corporate Contributors:
  United States. Department of Transportation. Federal Aviation Administration ; United States. Air Force
• Subject/TRT Terms:
  • Aviation safety
  • Algorithms
  • Flight dynamics
  • Gusts
  • Mathematical models
  • Weather conditions
  • Weather forecasting
  • Wind
  • Wind shear
  • Doppler radar
  More +
• Publication/ Report Number:
  ATC-274
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Massachusetts Institute of Technology. Lincoln Laboratory.
• Abstract:
  The Machine Intelligent Gust Front Algorithm (MIG-FA) utilizes multi-dimensional image processing and fuzzy logic techniques to identify gust fronts in Doppler radar data generated by the AS R-9 Weather Systems Processor (WSP). The algorithm generates products that support both safety and planning functions for ATC. Outputs include current and predicted locations of gust fronts, as well as estimates of the wind shear and wind shift associated with each gust front. This document provides both high level and detailed functional descriptions of FAA build 2.0 of the WSP MICFA. The document was written with many explicit references to data structures and routines in the actual software in order that it may serve as a useful algorithm development and programmers reference guide.
• Format:
  PDF
• Funding:
  F19628-00-C-0002
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/62389/dot_62389_DS1.pdf
• File Type:
  [PDF - 12.60 MB]
• Collection(s):
  Federal Aviation Administration
• Main Document Checksum:
  urn:sha-512:37ad1611f3d89d0404a8ab3e68a6e304659a9f9ab9d0904153969c10dbfca7a65a21a5632e3084bd16f3fc6b480dcfec7d8f8c3dc5c4e39a5dea074e1515f9b3